Topic-sensitive PageRank

The anatomy of a large-scale hypertextual Web search engine

Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004

Authoritative sources in a hyperlinked environment

Kleinberg, J. M. (1999) · Journal of the ACM · doi:10.1145/324133.324140 · Cited by 9,032

Randomized Algorithms

Motwani, R., & Raghavan, P. (1995) · Cambridge University Press eBooks · doi:10.1017/cbo9780511814075 · Cited by 5,098

Rank aggregation methods for the Web

Dwork, C., Kumar, R., Naor, M., & Sivakumar, D. (2001) · International World Wide Web Conference (WWW) · doi:10.1145/371920.372165 · Cited by 1,825

Scaling personalized web search

Jeh, G., & Widom, J. (2003) · Proceedings of the twelfth international conference on World Wide Web - WWW '03 · doi:10.1145/775152.775191 · Cited by 1,195

Placing search in context

Finkelstein, L., Gabrilovich, E., Matias, Y., Rivlin, E., Solan, Z., Wolfman, G., & Ruppin, E. (2001) · International World Wide Web Conference (WWW) · doi:10.1145/371920.372094 · Cited by 841

Automatic resource compilation by analyzing hyperlink structure and associated text

Chakrabarti, S., Dom, B., Raghavan, P., Rajagopalan, S., Gibson, D., & Kleinberg, J. M. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00087-7 · Cited by 699

Improved Algorithms for Topic Distillation in a Hyperlinked Environment

Bharat, K. A., & Henzinger, M. R. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130367 · Cited by 678

Improved algorithms for topic distillation in a hyperlinked environment

Bharat, K. A., & Henzinger, M. R. (1998) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/290941.290972 · Cited by 443

The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank

Richardson, M., & Domingos, P. (2001) · Cited by 356

Who is talking about what

Zhao, S., Zhou, M. X., Yuan, Q., Zhang, X., Zheng, W., & Fu, R. (2010) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/1864708.1864737 · Cited by 30

The Minimum Wiener Connector Problem

Ruchansky, N., Bonchi, F., García-Soriano, D., Gullo, F., & Kourtellis, N. (2015) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/2723372.2749449 · Cited by 30

A Robust Approach to Aligning Heterogeneous Lexical Resources

Pilehvar, M. T., & Roberto Navigli, A. (2014) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.3115/v1/p14-1044 · Cited by 30

A sequence labeling model for catchphrase identification from legal case documents

Mandal, A., Ghosh, K., Ghosh, S., & Mandal, S. (2021) · Artificial Intelligence and Law · doi:10.1007/s10506-021-09296-2 · Cited by 32

Explaining and Reformulating Authority Flow Queries

Varadarajan, R. R., Hristidis, V., & Raschid, L. (2008) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2008.4497497 · Cited by 30

User Ratings of Ontologies: Who Will Rate the Raters?

Noy, N. F., Guha, R. V., & Musen, M. A. (2005) · Cited by 30

Decomposition of the Google pagerank and optimal linking strategy

Avrachenkov, K. E., & Litvak, N. (2004) · University of Twente Research Information · Cited by 30

Organizing User Search Histories

Hwang, H., Lauw, H. W., Getoor, L. C., & Ntoulas, A. (2011) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2010.251 · Cited by 29

ZhihuRank: A Topic-Sensitive Expert Finding Algorithm in Community Question Answering Websites

Liu, X., Ye, S., Li, X., Luo, Y., & Rao, Y. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-25515-6_15 · Cited by 29

Issues in Personalizing Information Retrieval

Pasi, G. (2010) · BOA (University of Milano-Bicocca) · Cited by 29

A Graph-theoretic Summary Evaluation for ROUGE

ShafieiBavani, E., Ebrahimi, M., Wong, R. K., & Chen, F. (2018) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d18-1085 · Cited by 29

The liberal media and right-wing conspiracies

Efron, M. (2004) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1031171.1031250 · Cited by 29

Document Expansion Based on WordNet for Robust IR

Agirre, E., Arregi, X., & Otegi, A. (2010) · Cited by 29

Analyzing Sentiment in Classical Chinese Poetry

Hou, Y., & Frank, A. (2015) · doi:10.18653/v1/w15-3703 · Cited by 29

Random Walks in Social Networks and their Applications: A Survey

Sarkar, P., & Moore, A. (2011) · Springer eBooks · doi:10.1007/978-1-4419-8462-3_3 · Cited by 29

Query expansion using path-constrained random walks

Gao, J., Xu, G., & Xu, J. (2013) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2484028.2484058 · Cited by 28

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals

Park, N., Kan, A., Dong, X. L., Zhao, T., & Faloutsos, C. (2020) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3394486.3403093 · Cited by 28

Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models

Yan, Y., Li, R., Wang, S., Zhang, H., Zan, D., Zhang, F., Wu, W., & Xu, W. (2021) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2021.emnlp-main.296 · Cited by 30

Keyword Query Reformulation on Structured Data

Yao, J., Cui, B., Hua, L., & Huang, Y. (2012) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2012.76 · Cited by 28

Exploiting domain information for Word Sense Disambiguation of medical documents

Stevenson, M., Agirre, E., & Soroa, A. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000415 · Cited by 28

A Scalable Topic-Based Open Source Search Engine

Buntine, W., Löfström, J., Perkiö, J., Perttu, S., Poroshin, V., Silander, T., Tirri, K. A., Tuominen, A., & Tuulos, V. H. (2004) · doi:10.1109/wi.2004.12 · Cited by 28

A framework to compute page importance based on user behaviors

Liu, Y., Liu, T., Gao, B., Ma, Z.-M., & Li, H. (2009) · Information Retrieval · doi:10.1007/s10791-009-9098-8 · Cited by 28

Authority-shift clustering: Hierarchical clustering by authority seeking on graphs

Cho, M., & MuLee, K. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540081 · Cited by 28

ReEL

Baral, R., Zhu, X., Iyengar, S. S., & Li, T. (2018) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3209219.3209237 · Cited by 28

I-SPY — Anonymous, Community-Based Personalization by Collaborative Meta-Search

Smyth, B., Freyne, J., Coyle, M., Briggs, P. M., & Balfe, E. (2004) · Springer eBooks · doi:10.1007/978-0-85729-412-8_27 · Cited by 28

A layered approach for investigating the topological structure of communities in the Web

Thelwall, M. A. (2003) · Journal of Documentation · doi:10.1108/00220410310485703 · Cited by 28

Defining and predicting troll vulnerability in online social media

Tsantarliotis, P., Pitoura, E., & Tsaparas, P. (2017) · Social Network Analysis and Mining · doi:10.1007/s13278-017-0445-2 · Cited by 27

Lancer: Your Code Tell Me What You Need

Zhou, S., Shen, B., & Zhong, H. (2019) · IEEE/ACM International Conference on Automated Software Engineering (ASE) · doi:10.1109/ase.2019.00137 · Cited by 29

EIGAT: Incorporating global information in local attention for knowledge representation learning

Zhao, Y., Feng, H., Zhou, H., Yang, Y., Chen, X., Xie, R., Zhuang, F., & Li, Q. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107909 · Cited by 27

Early detection of Parkinson’s disease through enriching the electronic health record using a biomedical knowledge graph

Soman, K., Nelson, C., Cerono, G., Goldman, S. M., Baranzini, S. E., & Brown, E. G. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1081087 · Cited by 27

Graffiti: graph-based classification in heterogeneous networks

Angelova, R., Kasneci, G., & Weikum, G. (2011) · World Wide Web · doi:10.1007/s11280-011-0126-4 · Cited by 27

Classifiers without borders

Qi, X., & Davison, B. D. (2008) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1390334.1390443 · Cited by 27

GeoTeCS: Exploiting Geographical, Temporal, Categorical and Social Aspects for Personalized POI Recommendation (Invited Paper)

Baral, R., Wang, D., Li, T., & Chen, S. (2016) · IEEE International Conference on Information Reuse and Integration (IRI) · doi:10.1109/iri.2016.20 · Cited by 27

Graph‐based recommendation integrating rating history and domain knowledge: Application to on‐site guidance of museum visitors

Minkov, E., Kahanov, K., & Kuflik, T. (2017) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23837 · Cited by 27

Fast Algorithm for K-Truss Discovery on Public-Private Graphs

Ebadian, S., & Huang, X. S. (2019) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2019/313 · Cited by 27

Learning Parameters in Entity Relationship Graphs from Ranking Preferences

Chakrabarti, S., & Agarwal, A. (2006) · Lecture notes in computer science · doi:10.1007/11871637_13 · Cited by 27

Computing PageRank in a Distributed Internet Search Engine System.

Wang, Y., & DeWitt, D. J. (2004) · Very Large Data Bases · Cited by 27

Studying the Wikipedia Hyperlink Graph for Relatedness and DisambiguationPreprint

Agirre, E., Barrena, A., & Soroa, A. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1503.01655 · Cited by 27

A Survey of Link Recommendation for Social Networks: Methods, Theoretical Foundations, and Future Research DirectionsPreprint

Li, Z., Fang, X., & Sheng, O. R. L. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2682561 · Cited by 27

Social-Relational Topic Model for Social Networks

Guo, W., Wu, S., Wang, L., & Tan, T. (2015) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2806416.2806611 · Cited by 26

MIIB: A Metric to Identify Top Influential Bloggers in a Community

Khan, H. U., Daud, A. Y., & Malik, T. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138359 · Cited by 26

Aging effects on query flow graphs for query suggestion

Baraglia, R., Castillo, C., Donato, D., Nardini, F. M., Perego, R., & Silvestri, F. (2009) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1645953.1646272 · Cited by 26

${M^2}{T^2}$: The Multivariate Multistep Transition Tensor for User Mobility Pattern Prediction

Wang, P., Yang, L. T., Peng, Y., Li, J., & Xie, X. (2020) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2019.2913669 · Cited by 26

Efficient Algorithms for Personalized PageRankPreprint

Lofgren, P. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1512.04633 · Cited by 26

NWE: Node-weighted expansion for protein complex prediction using random walk distances

Maruyama, O., & Chihara, A. (2011) · Proteome Science · doi:10.1186/1477-5956-9-s1-s14 · Cited by 26

BullyNet: Unmasking Cyberbullies on Social Networks

Srinath, A. S., Johnson, H., Dagher, G. G., & Long, M. (2021) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2021.3049232 · Cited by 25

A multi-criteria ranking framework for partner selection in scientific collaboration environments

Schall, D. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.10.001 · Cited by 25

Ranking cricket teams

Daud, A. Y., Muhammad, F., Dawood, H., & Dawood, H. (2014) · Information Processing & Management · doi:10.1016/j.ipm.2014.10.010 · Cited by 25

A task‐focused literature recommender system for digital libraries

Yang, W., & Lin, Y. (2013) · Online Information Review · doi:10.1108/oir-10-2011-0172 · Cited by 25

Approximating Personalized PageRank with Minimal Use of Web Graph Data

Gleich, D. F., & Polito, M. (2006) · Internet Mathematics · doi:10.1080/15427951.2006.10129128 · Cited by 25

Personalized PageRank Based Multi-document Summarization

Liu, Y., Wang, X., Zhang, J., & Xu, H. (2008) · IEEE International Workshop on Semantic Computing and Systems (WSCS) · doi:10.1109/wscs.2008.32 · Cited by 25

Human-Machine Collaborative Optimization via Apprenticeship Scheduling

Gombolay, M., Jensen, R., Stigile, J., Golen, T. H., Shah, N. T., Son, S.-H., & Shah, J. (2018) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.11233 · Cited by 25

MetaboRank: network-based recommendation system to interpret and enrich metabolomics results

Frainay, C., Aros-Calt, S., Chazalviel, M., Garcia, T., Vinson, F., Weiss, N., Colsch, B., Sedel, F., Thabut, D., Junot, C., et al. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty577 · Cited by 25

Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing

Dutta, S., Jeong, H., Yang, Y. L., Cadambe, V. R., Low, T. M., & Grover, P. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2986362 · Cited by 25

Using cocitation information to estimate political orientation in web documents

Efron, M. (2005) · Knowledge and Information Systems · doi:10.1007/s10115-005-0214-9 · Cited by 25

Web Content Categorization Using Link Information

Gyöngyi, Z., García-Molina, H., & Pedersen, J. (2006) · Cited by 25

Supporting intelligent Web search

Coyle, M., & Smyth, B. (2007) · ACM Transactions on Internet Technology · doi:10.1145/1278366.1278369 · Cited by 25

Using Cross-Document Random Walks for Topic-Focused Multi-Document

Wan, X., Yang, J., & Xiao, J. (2006) · IEEE/WIC/ACM International Conference on Web Intelligence · doi:10.1109/wi.2006.182 · Cited by 25

An unsupervised method for word sense disambiguation

Rahman, N., & Borah, B. (2021) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2021.07.022 · Cited by 24

A Hybrid Model for Experts Finding in Community Question Answering

Li, H. H., Jin, S., & Li, S. (2015) · International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) · doi:10.1109/cyberc.2015.87 · Cited by 24

Wisdom of the ages

Gyllstrom, K., & Moens, M. (2010) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1871437.1871462 · Cited by 24

An Intelligent Procurement Marketplace forWeb Services Composition

Mohabey, M., Narahari, Y., Mallick, S., Suresh, P., & Subrahmanya, S. V. (2007) · IEEE/WIC/ACM International Conference on Web Intelligence · doi:10.1109/wi.2007.145 · Cited by 24

Improving graph-walk-based similarity with reranking

Minkov, E., & Cohen, W. W. (2010) · ACM Transactions on Information Systems · doi:10.1145/1877766.1877770 · Cited by 26

Influence Factorization for identifying authorities in Twitter

Alp, Z. Z., & Öğüdücü, Ş. G. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.10.020 · Cited by 23

Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation

Tripodi, R., & Roberto Navigli, A. (2019) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d19-1009 · Cited by 23

Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction

Geng, H., Wang, D., Zhuang, F., Ming, X., Du, C., Jiang, T., Guo, H., & Liu, R. (2022) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3511808.3557398 · Cited by 24

Personalizing Mobile Web Search for Location Sensitive Queries

Bouidghaghen, O., Tamine, L., & Boughanem, M. (2011) · IEEE International Conference on Mobile Data Management (MDM) · doi:10.1109/mdm.2011.52 · Cited by 23

Mining Research Communities in Bibliographical Data

Zai͏̈ane, O. R., Chen, J., & Goebel, R. G. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-00528-2_4 · Cited by 23

Random walk-based ranking in signed social networks: model and algorithms

Jung, J., Jin, W., & Kang, U. (2019) · Knowledge and Information Systems · doi:10.1007/s10115-019-01364-z · Cited by 23

Traps and Pitfalls of Topic-Biased PageRank

Boldi, P., Posenato, R., Santini, M., & Vigna, S. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-78808-9_10 · Cited by 23

Three-Level Caching for Efficient Query Processing in Large Web Search Engines

Long, X., & Suel, T. (2006) · World Wide Web · doi:10.1007/s11280-006-0221-0 · Cited by 23

Exploiting PageRank at Different Block Level

Jiang, X., Xue, G.-R., Song, W.-G., Zeng, H.-J., Chen, Z., & Ma, W. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30480-7_26 · Cited by 23

Constructing effective and efficient topic-specific authority networks for expert finding in social media

Yeniterzi, R., & Callan, J. (2014) · doi:10.1145/2632188.2632208 · Cited by 22

The Effects of Time on Query Flow Graph-based Models for Query Suggestion

Baraglia, R., Nardini, F. M., Castillo, C., Perego, R., Donato, D., & Silvestri, F. (2010) · Cited by 22

Towards a personalized, scalable, and exploratory academic recommendation service

Küçüktunç, O., Saule, É., Kaya, K., & Çatalyürek, Ü. V. (2013) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/2492517.2492605 · Cited by 22

Incorporating Participant Reputation in Community-Driven Question Answering Systems

Hong, L., Yang, Z., & Davison, B. D. (2009) · doi:10.1109/cse.2009.28 · Cited by 22

Context-based literature digital collection search

Ratprasartporn, N., Po, J., Cakmak, A., Bani‐Ahmad, S., & Özsoyoğlu, G. (2008) · The VLDB Journal · doi:10.1007/s00778-008-0099-9 · Cited by 22

Explicit Diversification of Event Aspects for Temporal Summarization

McCreadie, R., Santos, R. L. T., Macdonald, C., & Ounis, I. (2018) · ACM Transactions on Information Systems · doi:10.1145/3158671 · Cited by 22

Toward Contextual Information Retrieval: A Review And Trends

Merrouni, Z. A., Frikh, B., & Ouhbi, B. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.01.036 · Cited by 22

Using Hyperlink Features to Personalize Web Search

Aktaş, M. S., Nacar, M. A., & Menczer, F. (2006) · Lecture notes in computer science · doi:10.1007/11899402_7 · Cited by 22

The Compass Filter: Search Engine Result Personalization Using Web Communities

Kritikopoulos, A., & Sideri, M. (2005) · Lecture notes in computer science · doi:10.1007/11577935_12 · Cited by 22

Computing heat kernel pagerank and a local clustering algorithm

Chung, F., & Simpson, O. (2017) · European Journal of Combinatorics · doi:10.1016/j.ejc.2017.07.013 · Cited by 22

How to exploit ontologies in trust negotiation

Leithead, T., Nejdl, W., Olmedilla, D., Seamons, K. E., Winslett, M., Yu, T., & Zhang, C. C. (2004) · Cited by 22

HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Gutiérrez, B. J., Shu, Y., Gu, Y., Yasunaga, M., & Su, Y. (2024) · arXiv · doi:10.48550/arxiv.2405.14831 · Cited by 152

Recommending Users and Communities in Social Media

Li, L., Peng, W., Kataria, S., Sun, T., & Li, T. (2015) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/2757282 · Cited by 21

Learning sequential and general interests via a joint neural model for session-based recommendation

Zhang, Z., & Wang, B. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.07.039 · Cited by 21

Devising an individually oriented method for selection of scientific activity subjects for implementing scientific projects based on scientometric analysis

Xu, H., Kuchansky, A., & Gladka, M. (2021) · Eastern-European Journal of Enterprise Technologies · doi:10.15587/1729-4061.2021.248040 · Cited by 21

An introduction to data mining in social networks

De, S., Dey, S., Bhatia, S., & Bhattacharyya, S. (2022) · Elsevier eBooks · doi:10.1016/b978-0-32-385708-6.00008-4 · Cited by 23

Shift-Robust Molecular Relational Learning with Causal Substructure

Lee, N., Yoon, K., Na, G. S., Kim, S., & Park, C. (2023) · Knowledge Discovery and Data Mining · doi:10.1145/3580305.3599437 · Cited by 31

Hyperlink Analysis: Techniques and Applications

Desikan, P., Srivastava, J., Kumar, V., & Tan, P. (2005) · Cited by 21

Exploiting location information for Web search

Zhao, J., Jin, P., Zhang, Q., & Wen, R. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.04.023 · Cited by 21

Personalized PageRank with Node-Dependent Restart

Avrachenkov, K. E., van der Hofstad, R., & Sokol, M. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-13123-8_3 · Cited by 21

Joint Graphical Models for Date Selection in Timeline Summarization

Tran, G. B., Herder, E., & Markert, K. (2015) · doi:10.3115/v1/p15-1154 · Cited by 21

A two phase investment game for competitive opinion dynamics in social networks

Dhamal, S., Ben‐Ameur, W., Chahed, T., & Altman, E. (2019) · Information Processing & Management · doi:10.1016/j.ipm.2019.102064 · Cited by 21

A random-walk based scoring algorithm with application to recommender systems for large-scale e-commerce

Gori, M., & Pucci, A. (2006) · Cited by 21

BGMSDDA: a bipartite graph diffusion algorithm with multiple similarity integration for drug–disease association prediction

Xie, G., Li, J., Gu, G., Sun, Y., Lin, Z., Zhu, Y., & Wang, W. (2021) · Molecular Omics · doi:10.1039/d1mo00237f · Cited by 21

ImprovedGCN: An efficient and accurate recommendation system employing lightweight graph convolutional networks in social media

Dhawan, S., Singh, K., Răbâea, A., & Batra, A. (2022) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2022.101191 · Cited by 21

Bridging Topic Modeling and Personalized Search

Song, W. G., Zhang, Y., Liu, T., & Li, S. (2010) · Cited by 21

SCOOP: Automated Social Recommendation in Enterprise Process Management

Qu, H., Sun, J., & Jamjoom, H. T. (2008) · IEEE International Conference on Services Computing · doi:10.1109/scc.2008.153 · Cited by 21

Human Interactions in Mixed Systems - Architecture, Protocols, and Algorithms

Dustdar, S. (2009) · Cited by 21

ABSTRACT In

(2008)

Topic-sensitive pagerank: A context-sensitive ranking algorithm for web search

Haveliwala, T. H. (2003) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2003.1208999 · Cited by 1,046

Research on PageRank and Hyperlink-Induced Topic Search in Web Structure Mining

Yan, L., Wei, Y., Gui, Z., & Chen, Y. (2011) · International Conference on Internet Technology and Applications · doi:10.1109/itap.2011.6006308 · Cited by 11

Available online at: www.ijarcsse.com An Effective Algorithm for Web Mining Based on Topic Sensitive Link Analysis

Mishra, S. N., & Ambhaikar, A. J. A. (2014)

Dynamic Navigation of Query Results Using Biased Topic Sensitive Page Rank Algorithm

Lakshmi, L., & Reddy, P. N. (2015) · International Journal of Computer Sciences and Engineering